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Diffstat (limited to 'Drivers/CMSIS/DSP/Include/dsp/distance_functions_f16.h')
| -rw-r--r-- | Drivers/CMSIS/DSP/Include/dsp/distance_functions_f16.h | 180 |
1 files changed, 180 insertions, 0 deletions
diff --git a/Drivers/CMSIS/DSP/Include/dsp/distance_functions_f16.h b/Drivers/CMSIS/DSP/Include/dsp/distance_functions_f16.h new file mode 100644 index 0000000..a7ceb3c --- /dev/null +++ b/Drivers/CMSIS/DSP/Include/dsp/distance_functions_f16.h @@ -0,0 +1,180 @@ +/****************************************************************************** + * @file distance_functions_f16.h + * @brief Public header file for CMSIS DSP Library + * @version V1.10.0 + * @date 08 July 2021 + * Target Processor: Cortex-M and Cortex-A cores + ******************************************************************************/ +/* + * Copyright (c) 2010-2020 Arm Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + + +#ifndef _DISTANCE_FUNCTIONS_F16_H_ +#define _DISTANCE_FUNCTIONS_F16_H_ + +#include "arm_math_types_f16.h" +#include "arm_math_memory.h" + +#include "dsp/none.h" +#include "dsp/utils.h" + +/* 6.14 bug */ +#if defined (__ARMCC_VERSION) && (__ARMCC_VERSION >= 6100100) && (__ARMCC_VERSION < 6150001) +/* Defined in minkowski_f32 */ +__attribute__((weak)) float __powisf2(float a, int b); +#endif + +#include "dsp/statistics_functions_f16.h" +#include "dsp/basic_math_functions_f16.h" + +#include "dsp/fast_math_functions_f16.h" + +#ifdef __cplusplus +extern "C" +{ +#endif + +#if defined(ARM_FLOAT16_SUPPORTED) + +/** + * @brief Euclidean distance between two vectors + * @param[in] pA First vector + * @param[in] pB Second vector + * @param[in] blockSize vector length + * @return distance + * + */ + +float16_t arm_euclidean_distance_f16(const float16_t *pA,const float16_t *pB, uint32_t blockSize); + +/** + * @brief Bray-Curtis distance between two vectors + * @param[in] pA First vector + * @param[in] pB Second vector + * @param[in] blockSize vector length + * @return distance + * + */ +float16_t arm_braycurtis_distance_f16(const float16_t *pA,const float16_t *pB, uint32_t blockSize); + +/** + * @brief Canberra distance between two vectors + * + * This function may divide by zero when samples pA[i] and pB[i] are both zero. + * The result of the computation will be correct. So the division per zero may be + * ignored. + * + * @param[in] pA First vector + * @param[in] pB Second vector + * @param[in] blockSize vector length + * @return distance + * + */ +float16_t arm_canberra_distance_f16(const float16_t *pA,const float16_t *pB, uint32_t blockSize); + + +/** + * @brief Chebyshev distance between two vectors + * @param[in] pA First vector + * @param[in] pB Second vector + * @param[in] blockSize vector length + * @return distance + * + */ +float16_t arm_chebyshev_distance_f16(const float16_t *pA,const float16_t *pB, uint32_t blockSize); + + +/** + * @brief Cityblock (Manhattan) distance between two vectors + * @param[in] pA First vector + * @param[in] pB Second vector + * @param[in] blockSize vector length + * @return distance + * + */ +float16_t arm_cityblock_distance_f16(const float16_t *pA,const float16_t *pB, uint32_t blockSize); + +/** + * @brief Correlation distance between two vectors + * + * The input vectors are modified in place ! + * + * @param[in] pA First vector + * @param[in] pB Second vector + * @param[in] blockSize vector length + * @return distance + * + */ +float16_t arm_correlation_distance_f16(float16_t *pA,float16_t *pB, uint32_t blockSize); + +/** + * @brief Cosine distance between two vectors + * + * @param[in] pA First vector + * @param[in] pB Second vector + * @param[in] blockSize vector length + * @return distance + * + */ + +float16_t arm_cosine_distance_f16(const float16_t *pA,const float16_t *pB, uint32_t blockSize); + +/** + * @brief Jensen-Shannon distance between two vectors + * + * This function is assuming that elements of second vector are > 0 + * and 0 only when the corresponding element of first vector is 0. + * Otherwise the result of the computation does not make sense + * and for speed reasons, the cases returning NaN or Infinity are not + * managed. + * + * When the function is computing x log (x / y) with x 0 and y 0, + * it will compute the right value (0) but a division per zero will occur + * and shoudl be ignored in client code. + * + * @param[in] pA First vector + * @param[in] pB Second vector + * @param[in] blockSize vector length + * @return distance + * + */ + +float16_t arm_jensenshannon_distance_f16(const float16_t *pA,const float16_t *pB,uint32_t blockSize); + +/** + * @brief Minkowski distance between two vectors + * + * @param[in] pA First vector + * @param[in] pB Second vector + * @param[in] n Norm order (>= 2) + * @param[in] blockSize vector length + * @return distance + * + */ + + + +float16_t arm_minkowski_distance_f16(const float16_t *pA,const float16_t *pB, int32_t order, uint32_t blockSize); + + +#endif /*defined(ARM_FLOAT16_SUPPORTED)*/ +#ifdef __cplusplus +} +#endif + +#endif /* ifndef _DISTANCE_FUNCTIONS_F16_H_ */ |